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Conference papers
Nearest cluster center decision in hierarchical classification process
Abstract : The hierarchical classification method based on SVM multi learning process has proved its abilities to classify large databases. However, some misclassification can be detected through the hierarchy levels. To minimize these errors and improving the rate of classification, we propose to use Nearest Cluster centers (NCC) in the hierarchy structure to correct the classification ambiguities. Obtained results on IRIS database prove the given improvement of global classification rate.
https://hal.archives-ouvertes.fr/hal-01777619
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, April 24, 2018 - 11:37:41 PM
Last modification on : Tuesday, June 30, 2020 - 11:56:09 AM
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, April 24, 2018 - 11:37:41 PM
Last modification on : Tuesday, June 30, 2020 - 11:56:09 AM